An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model
The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this s...
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| Format: | Dataset |
| Language: | unknown |
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Mendeley
2019
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| Online Access: | https://dx.doi.org/10.17632/jky2frt4pk.1 https://data.mendeley.com/datasets/jky2frt4pk/1 |
| Summary: | The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this study, we proposed a numerical simulation method for improving soil water during the freeze-thaw process based on the field observation data of soil water and temperature. This approach does not require new parameters and has no impact on other modules. The improvement of soil water content during the freeze-thaw process was then incorporated in the Biome-BGC model for NPP in an alpine meadow in the central Qinghai-Tibetan Plateau (QTP). In this data set, there are five files, The soil temperature was recorded using HMP45C temperature sensors. Soil water content was recorded using a CS616 L/Water Content.；The average sunshine shortwave radiant flux density and sunshine hours were calculated by the MTCLIM4.0 model；the original model results； the improved model results；and the analysis and validation data. |
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